Posts Tagged ‘pyrite miner’

The latest T-Rex Nvidia GPU miner version 0.11.0 adds support for the new X25x algorithm to be used by the SUQA/SIN Project in the upcoming hardfork planned for block 165,000 or around 24th-25th May. So far this is the first and the only miner for the new X25x algorithm to be ready ahead of the fork, so if you are planning on mining SUQA/SIN after the fork make sure you are ready. Aside from the support for the new algorithm, the new latest T-Rex brings some bug fixes that help improve the stability of the miner. The previous release T-Rex 0.10.2 from a couple of days ago also brought support for the MTP algorithm (Zcoin), so this is something new if you have missed the previous update and are still on the pretty old 0.9.2 version.

Do note that the T-Rex is a closed source miner with 1% development fee built-in. Also make sure you have a recent video driver installed (the latest for CUDA 10 support) as the binaries for both Linux and Windows are compiled for CUDA 9.1/9.2/10.0.

The latest T-Rex Nvidia GPU miner version 0.9.1 adds support for two new algorithms – X16RT (Veil) and SHA256Q (Pyrite) and comes with some minor performance improvements for x16r, bcd, x22i and other x16-like algorithms. There are also multiple web monitoring page improvements introduced, along with a Linux watchdog as a windows one has been available for a while already. Everyone currently mining Veil that uses the new X16RT algorithm might be interested in switching to T-Rex 0.9.1 as it seems to be even faster compared to the recently released CryptoDredge 0.16.0 miner that also added support for X16RT. If you are looking for AMD GPU support for these two newly added algorithms in the T-Rex miner, namely X16RT and SHA256Q, then you might want to check the latest WildRig Multi miner.

Do note that the T-Rex is a closed source miner with 1% development fee built-in. Also make sure you have a recent video driver installed (the latest for CUDA 10 support) as the binaries for both Linux and Windows are compiled for CUDA 9.1/9.2/10.0.

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